Inspiration
Dreams are full of creativity and imagination, but they’re often fleeting. We wanted to transform those abstract, playful ideas into something tangible and fun. The idea came from wondering: “What if AI could turn dreams into recipes?” This project combines creativity, AI, and interactivity to bring dreams to life in a unique way.
What it does
The Dream-to-Recipe Generator lets users type a dream. Our AI then generates a complete, imaginative recipe including:
- Recipe Name inspired by the dream
- Ingredients with quantities
- Step-by-step instructions
How we built it
- AI Model: GPT-OSS-20B to generate recipes from dream descriptions.
- Prompt Design: Custom prompt templates ensure consistent output formatting.
Challenges we ran into
- Model Size & GPU Limits: GPT-OSS-20B is very large, so running it in Colab required GPU acceleration and careful memory management.
- Output Consistency: Ensuring the AI consistently produced readable recipes with proper ingredients and steps.
Accomplishments that we're proud of
- Created a system that turns abstract dreams into tangible, creative recipes.
- Developed an effective prompting strategy to keep AI outputs fun, structured, and readable.
What we learned
- Hands-on experience with large language models and prompt engineering.
- Practical lessons on GPU memory management and handling large model outputs.
What's next for Yummy Dream
- Add customization options like dietary preferences or cuisine types.
- Deploy as a standalone web app accessible without Colab.
- Include AI-generated visuals or illustrations alongside recipes for a richer experience.
Built With
- google-colab
- python
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